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DagsHub
dagshub.com
What it is
DagsHub helps developers and teams manage machine-learning projects, from data collection and dataset curation through annotation, experimentation, and model management. A project workspace can hold code, data, experiments, models, pipelines, and annotations together. The platform is designed for text, images, audio, video, documents, medical imaging, and binary files. Experiment tracking supports run comparison, metric and parameter visualization, real-time progress monitoring, and reproducibility. Data Engine provides curation, visualization, quality review, lineage, hard-example mining, labeling, auto-labeling, and data streaming. Official integrations include tools such as GitHub, Google Colab, DVC, MLflow, Jenkins, Label Studio, Google Drive, Weights & Biases, and Hugging Face; hosted projects also have support for the MLflow and Label Studio APIs. DagsHub hosts data but does not provide compute, so projects rely on local, cloud, or edge infrastructure. Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. The Individual plan is free, with stated private-repository limits; paid pricing starts at $99/user/mo billed annually, and a 14-day trial is available.
Spec sheet
- What it does
- DagsHub is a web platform for hosting, versioning and collaborating on machine-learning code, data, experiments, models and annotations.Read 15 Oct 2026 · dagshub.com
- API
- DagsHub publishes an API with interactive endpoint testing, token authentication and Basic Authentication using a username and token.Read 15 Oct 2026 · dagshub.com
- Integrations
- Documented integrations include GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3.Read 15 Oct 2026 · capterra.com
- Annotation
- The platform supports multimodal annotation and auto-labeling, with Label Studio compatibility on the Team plan.Read 15 Oct 2026 · dagshub.com
- API support
- DagsHub offers full support for the MLflow and Label Studio APIs for projects hosted on DagsHub.Read 30 Sep 2026 · dagshub.com
- CLI
- The client supplies a dagshub command-line interface for login, repository creation, upload, download, DVC setup and version reporting.Read 15 Oct 2026 · dagshub.com
- Client licence
- The public DagsHub client repository is marked MIT licensed.Read 15 Oct 2026 · github.com
- Company founders
- Crunchbase names Dean Pleban as co-founder and CEO and Guy Smoilovsky as CTO and co-founder.Read 15 Oct 2026 · crunchbase.com
- Company headquarters
- LinkedIn lists San Francisco as headquarters, while Crunchbase lists Tel Aviv, Israel.Read 15 Oct 2026 · linkedin.com
- Company legal name
- Crunchbase identifies the legal entity as DagsHub Inc.Read 15 Oct 2026 · crunchbase.com
- Company size
- LinkedIn lists DagsHub as privately held with 11–50 employees.Read 15 Oct 2026 · linkedin.com
- Compute limitation
- The documentation says DagsHub does not provide compute resources, so training and deployment run on infrastructure supplied by the customer.Read 15 Oct 2026 · dagshub.com
- Data and code versioning
- The product combines Git and DVC-based versioning so code and large data files can be managed together.Read 15 Oct 2026 · github.com
- Data Engine
- Data Engine provides APIs and tools for connecting sources, enriching metadata, querying, visualizing, annotating and producing dataloaders.Read 15 Oct 2026 · dagshub.com
- Deployment options
- Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments.Read 30 Sep 2026 · dagshub.com
- Documentation and support
- DagsHub provides quick starts, feature guides, API reference, Python client reference, CLI reference, tutorials, FAQ material and Discord/community support.Read 15 Oct 2026 · dagshub.com
- Enterprise security
- DagsHub states that it adheres to ISO 27001 and ISO 9001 standards and supports custom OIDC and LDAP authentication for SSO.Read 30 Sep 2026 · dagshub.com
- Experiment tracking
- Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts.Read 15 Oct 2026 · github.com
- Free-plan limits
- The Individual plan allows up to 100 tracked experiments in private repositories, up to 2 private collaborators, and 20GB of DagsHub Storage.Read 30 Sep 2026 · dagshub.com
- Funding
- CB Insights reports $4.5 million raised across five rounds, including a $2.5 million seed round dated March 1, 2022.Read 15 Oct 2026 · cbinsights.com
- Generated API clients
- DagsHub links auto-generated clients for multiple languages but warns that they have not been fully tested.Read 15 Oct 2026 · dagshub.com
- GitHub synchronization
- GitHub repositories can sync through webhooks, while GitHub pull requests and issues are shown in DagsHub and vice versa.Read 15 Oct 2026 · dagshub.com
- Hosted scope
- DagsHub hosts data but does not currently provide compute resources, relying on the user's local, cloud, or edge infrastructure.Read 30 Sep 2026 · dagshub.com
- Independent API limitation
- The same evaluation reported that MLflow run information stored in DagsHub could not then be retrieved programmatically through a Python API.Read 15 Oct 2026 · smiffy.de
- Independent documentation finding
- The evaluation described the getting-started guide and Discord as useful but said users often need DVC and MLflow documentation as well.Read 15 Oct 2026 · smiffy.de
- Independent performance finding
- A university evaluation reported that logging 1,000 MLflow metrics to DagsHub took 291 seconds, or 11 seconds in batch mode.Read 15 Oct 2026 · smiffy.de
- Lifecycle platform
- DagsHub helps developers and teams manage data collection, dataset curation and annotation, experimentation, and model management.Read 30 Sep 2026 · dagshub.com
- Limit: customization
- Some G2 reviewers want more user-interface customization and better navigation for large projects.Read 15 Oct 2026 · g2.com
- Limit: extensibility
- A G2 reviewer could not find an easy way to inherit part of a model from another project.Read 15 Oct 2026 · g2.com
- Limit: free collaboration
- A G2 reviewer considers the free private-project collaborator limit restrictive, especially for academic teams.Read 15 Oct 2026 · g2.com
- Model management
- DagsHub provides model hosting, versioning, publishing and links between models, code, data and experiment runs.Read 15 Oct 2026 · dagshub.com
- Multimodal data
- The documentation says DagsHub is designed for text, images, audio, video, documents, medical imaging and other binary files.Read 15 Oct 2026 · dagshub.com
- News
- A LinkedIn post by co-founder Guy Smoilovsky announced the launch of DagsHub Data Engine in 2023 as a cloud workspace for collection, metadata, visualization, labeling and curation.Read 15 Oct 2026 · linkedin.com
- Platform licence
- An independent evaluation states that the hosted DagsHub platform itself is closed source despite using open-source tools.Read 15 Oct 2026 · smiffy.de
- Praise: ease of setup
- G2 reviewers describe the integrated DVC and MLflow services as quick to start and reducing environment and configuration work.Read 15 Oct 2026 · g2.com
- Praise: workflow consolidation
- G2 reviewers repeatedly praise keeping datasets, code, experiments and model checkpoints together for reproducibility and collaboration.Read 15 Oct 2026 · g2.com
- Project workspace
- The platform can host code, data, experiments, models, pipelines, and annotations in one place.Read 30 Sep 2026 · dagshub.com
- Rating on Capterra
- 0.0 out of 5 from 0 reviewsRead 15 Oct 2026 · capterra.com
- Rating on G2
- 4.8 out of 5 from 14 reviewsRead 15 Oct 2026 · g2.com
- Rating on GetApp
- 0.0 out of 5 from 0 reviewsRead 15 Oct 2026 · getapp.com
- SDKs
- The official client is a Python package installable with pip and includes experiment tracking, direct data access, streaming, uploads and Data Engine functions.Read 15 Oct 2026 · dagshub.com
- Security and compliance
- DagsHub states that its enterprise offering adheres to ISO 27001 and ISO 9001 and supports custom OIDC and LDAP authentication.Read 15 Oct 2026 · dagshub.com
- Self-hosting
- Enterprise customers can install DagsHub on their own infrastructure, including on-premises, VPC, air-gapped and OpenShift environments.Read 15 Oct 2026 · dagshub.com
- Support tiers
- The Individual plan includes community support, Team includes priority support, and Enterprise includes enterprise SLA and support.Read 30 Sep 2026 · dagshub.com
- System requirements
- Official tutorials show the client workflow on Mac, Linux and Windows systems and install it with pip.Read 15 Oct 2026 · dagshub.com
- TrustRadius pricing listing
- TrustRadius lists one Basic SaaS plan at $49 per month and says no free version or trial is available on its profile.Read 15 Oct 2026 · trustradius.com
Plans and prices
Individual Free $0 per user/month Unlimited public repositories and collaborators · unlimited private repositories for non-commercial use · 100 private tracked experiments · 2 private-project collaborators · 20GB storage Read 15 Oct 2026 · dagshub.com
Individual Free $0 per user/month Unlimited public repositories and collaborators · unlimited private repositories for non-commercial use · 100 private tracked experiments · 2 private-project collaborators · 20GB storage Read 15 Oct 2026 · dagshub.com
Team $99 a year $99 per user/month Unlimited private repositories · multimodal annotation and auto-labeling · own-storage connections · Label Studio compatibility · team RBAC · priority support · 1TB or 2 million files Read 15 Oct 2026 · dagshub.com
Team $119 a month $119 per user/month Unlimited private repositories · multimodal annotation and auto-labeling · own-storage connections · Label Studio compatibility · team RBAC · priority support · 1TB or 2 million files Read 15 Oct 2026 · dagshub.com
Enterprise Priced on request Custom quote Petabyte-scale data · cluster model deployment · VPC/air-gapped on-premise installation · SSO/LDAP/OIDC RBAC · OpenShift · resource controls · SLA and enterprise support Read 15 Oct 2026 · dagshub.com
Strong points and limits
Strong points
- Workspace can combine code, data, and models
- Supports multimodal data, including medical imaging
- Data Engine includes lineage and auto-labeling
- Supports MLflow and Label Studio APIs
- Enterprise deployment includes air-gapped environments
Limits
- Platform does not provide compute resources
- Free plan limits private experiments and collaborators
- Enterprise price is custom quote
Who it suits
DagsHub suits ML developers and teams that need shared data, experiment, and model management. It is less suited to teams seeking compute resources from the platform itself.
Verdict
DagsHub brings project data, experiments, and model management into a shared workspace, with integrations and enterprise deployment options. Teams should account for external compute needs and the Individual plan's private-project limits.
Where Specifiction places it
- Data Version Control Tools#1 of 369.3
- ML Experiment Tracking Software#2 of 399.4
- Model Registry Software#2 of 369.3
- Model registries#4 of 389.4
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